Book Image

Delphi High Performance - Second Edition

By : Primož Gabrijelčič
5 (1)
Book Image

Delphi High Performance - Second Edition

5 (1)
By: Primož Gabrijelčič

Overview of this book

Performance matters! Users hate to use programs that are not responsive to interactions or run too slow to be useful. While becoming a programmer is simple enough, you require dedication and hard work to achieve an advanced level of programming proficiency where you know how to write fast code. This book begins by helping you explore algorithms and algorithmic complexity and continues by describing tools that can help you find slow parts of your code. Subsequent chapters will provide you with practical ideas about optimizing code by doing less work or doing it in a smarter way. The book also teaches you how to use optimized data structures from the Spring4D library, along with exploring data structures that are not part of the standard Delphi runtime library. The second part of the book talks about parallel programming. You’ll learn about the problems that only occur in multithreaded code and explore various approaches to fixing them effectively. The concluding chapters provide instructions on writing parallel code in different ways – by using basic threading support or focusing on advanced concepts such as tasks and parallel patterns. By the end of this book, you’ll have learned to look at your programs from a totally different perspective and will be equipped to effortlessly make your code faster than it is now.
Table of Contents (15 chapters)

Exploring parallel practices

The TCommTimerThread class from the previous chapter is also a demonstration of the current trend in multithreaded programming. Instead of working directly with threads, we try to put as much of the ugly multithreading plumbing into ready-to-use components. The first level of such abstraction is replacing threads with tasks.

A thread is just an operating system concept; one that allows executing multiple parts of a process simultaneously. When we program with threads, we have to handle all the cumbersome minutiae related to managing operating system threads.

A task, on the other hand, is the part of code that we want to execute in parallel. When we work with tasks, we don’t care how threads are created and destroyed. We just tell the system that we want to run the task and it does the rest.

The task is a useful step forward, but for the majority of users, tasks are still too low-level. That is why parallel programming libraries that support...